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Adding spatial context, data and maps to research using ArcGIS Online Tools

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ArcGIS has many different ways to access and display data sets, and analyze relationships over time and space. Many publicly available datasets are geocoded within the ArcGIS platform allowing users to analyze and visualize the relationships within different data sets spatially. Hands-on examples will show users how to find and download demographic data and other publically available data sets, how to combine the data with GIS files, and how to view the data in ArcGIS Online. The session will assist any researcher who wants to include tabular data in a spatial visualization or analysis.

Analysis of Clinical Trials

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The workshop covers three important topics that commonly face statisticians and research scientists conducting clinical research: analysis of stratified trials, analysis of pharmacogenetics data, and crossover trials. The workshop offers a well-balanced mix of theory and applications. It presents practical advice from experts and discusses regulatory considerations. The discussed statistical methods will be implemented using SAS software. Clinical trial examples will be used to illustrate the statistical methods.

Analyzing Social Media Data for Research

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Discover how NVivo’s NCapture tool supports the analysis of social media content from Twitter, Facebook, LinkedIn, and YouTube. Participants will be provided with an overview of how NCapture and NVivo make it possible to use social media data within research. Within the workshop, participants will extract data from social media platforms; code and query social media data; analyze the social media data; study information flow using social network analysis; and visualize, summarize, and export social media data.

Collecting Qualitative Data in a GIS Context with Collector for ArcGIS and Survey123

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While the foundations of GIS center around quantitative data and spatial analytic functions, recent developments in GIS enable users to integrate qualitative information into a GIS context thereby enriching and contextualizing place based research. This workshop will focus on collecting qualitative data using Collector and Survey123 within ArcGIS and encouraging participatory research through ArcGIS tools.

Data Visualization in Nvivo

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NVivo11 is a qualitative data-analysis package used to organize and analyze resources used in qualitative research. NVivo11 allows researchers to analyze documents, electronic web surveys, audio and video files, images, database tables, web pages, and social media content in one platform. This workshop will provide an in-depth review of the data visualization tools included in Nvivo. Participants will practice creating queries, maps, charts and diagrams.

Getting the most out of SAS Mixed Models:Tips, tricks and additional SAS procedures that support Model Development

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The SAS software provides many lesser known options in the mixed and glimmix procedures that can be used to perform complex model development for situations where model assumptions are violated. In addition, there are many SAS procedures such as plm, transreg, and sgplot that can be used to provide additional insight into the results of a model. The purpose of this course will be to introduce users to additional ways to specify and explain mixed models using options that are often times overlooked. The SAS mixed model building process will be discussed along with how to address situations such as unequal variances, unevenly spaced time points, and testing the appropriateness of random effects. In addition, procedures will be presented that expand the ability to explain mixed models beyond the capabilities provided by the SAS mixed model procedures. A personal suite of macros will be presented to help speed up and enhance analyses.

Introduction to ArcGIS Online

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ArcGIS Online is a simple cloud-based utility for producing, editing, and sharing geospatial data. ArcGIS Online is meant to act as a Web-based mapping solution for everyone from GIS professionals to those with no formal GIS training. This workshop will give an overview of ArcGIS Online features. Researchers will learn how to: Upload and manipulate data; map points, lines, and areas; enrich map layers with data; embed maps in Web sites; and share maps in a multitude of ways.

Introduction to ArcGIS Pro

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ArcGIS Pro is a new ESRI software package with a radically different user interface and a new way of working with GIS data within the ESRI platform. In this workshop, participants will become familiar with the ArcGIS Pro interface and terminology. Participants will create an ArcGIS Pro project and assign tasks, import MXD files, work with data stored locally and ArcGIS Online data, edit 2D and 3D data, perform geoprocessing and spatial analysis tasks, and create and share multiple layout for a single map.

Introduction to ESRI tools available to UTK community

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ArcGIS is a suite of software used to create and use maps, compile geographic data, analyze mapped information, share and discover geographic information, and manage geographic information in a database. The workshop will provide an overview of the software packages components available to the students, staff and faculty at UT.

Introduction to MATLAB

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MATLAB is the most popular software for solving problems in matrix algebra. The workshop introduces the basic features of MATLAB. You will learn MATLAB basic commands, data structures, built-in functions, and plotting using practical examples. You will also learn how to generate scripts in MATLAB called M-files and how to access the supporting information from MATLAB supporting documentation.

Introduction to NVivo

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Qualitative data-analysis tools such as NVivo are immensely useful for researchers who analyze, synthesize, and write up literature reviews. This workshop will focus on using NVivo (a qualitative data-analysis tool) to organize, query, visualize, and summarize data for a literature review. Additionally, participants will learn how to annotate literature, add research notes, and integrate NVivo with bibliographic software packages such as Endnote and Zotero.

Introduction to R

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In this hands-on workshop you will learn to use the R programming language to create vectors, factors and data frames; how to manage your files and workspace; how to control R functions; how to read comma-separated data files; how to select variables and observations; how to create plots and how to perform basic statistical analyses.

Introduction to SQLite Database

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You will create a simple database and execute SQL commands and we will provide a few basic scripting interfaces which the participants will utilize and do some simple edits in the class to get output. SQLite is easy to install and does not need a dedicated server. From the SQLite website: "SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. The source code for SQLite is in the public domain." Some well-known users of SQLite include Adobe, Apple, Firefox, GE, Google, McAfee, Microsoft, PHP, SKYPE, SUN, and Toshiba.

JMP Basics

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New workshop! Students will learn the basics of using the JMP interface to accomplish the following tasks: manage data effectively; explore data by using the software's extensive graphical capabilities; create and manage data summary reports in JMP; and conduct basic data analysis. Hands-on examples will be provided throughout the session. Prior knowledge of JMP is not required.

Linux Command-Line Skills

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NOTE: This self-paced, online tutorial will be available continuously; the "workshop date" is for OIT's purposes in tracking the number of people who access the training each semester.
Linux is a free and open source operating system with a wide usage in science, data-center, and industrial applications. Much of the power of the system is accessed only through its command-line interface. This hands-on workshop shows you how to use a Linux OS through the Bash shell. This is a self-directed, online workshop that should be completed independently. ACCESS THE ONLINE WORKSHOP AT http://tiny.utk.edu/linux_basics. Contact the instructor when completed or if you have questions.

Mathematica 1 (Basics)

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Mathematica Basics is a beginner’s level introduction to using Mathematica. Topics include creating cells in notebooks, creating and editing mathematical formulas using the keyboard and palettes, basic language syntax and programming, importing and exporting text, data and graphics, creating a slide show from a notebook, and configuring notebooks with the Option Inspector.

Mixed Model Analysis in SPSS

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The Linear Mixed Models technique extends the general linear model to allow for correlated design structures and nonconstant variability in the model. SPSS provides a set of efficient tools for analyzing mixed models. This workshop introduces the basic concepts of mixed models and demonstrates how to process and analyze mixed models in SPSS. Hands on tutorials will be conducted throughout the session, giving attendees a chance to see SPSS in action for mixed model analysis. Prior preliminary knowledge of SPSS is preferred but not required.

Multi-level Regression Models in SAS Proc Mixed

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Multi-level regression models, also known as hierarchical linear models or random coefficient models, are regression models with predictor variables measured a various different levels. For example, a model of standardized test score performance could contain predictors measured at the student level (e.g. age, gender), the classroom level (e.g. teacher’s years of experience), and at the school level (e.g. percent free/reduced lunch). Another type of multi-level model is the growth curve model which measures the dependent variable at multiple time points across a group of students. Proc Mixed allows the researcher to specify whether the slopes and/or intercepts of lower level predictors are allowed to vary within higher levels, and determines the variance in the dependent variable due to the higher level grouping factors (e.g. classroom, school).

Nvivo 11 Fundamentals

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NVivo11 is a qualitative data-analysis package used to organize and analyze resources used in qualitative research. NVivo11 allows researchers to analyze documents, electronic web surveys, audio and video files, images, database tables, web pages, and social media content in one platform. This workshop will provide an overview of the software. The interface and features are demonstrated, along with examples of research projects utilizing the software. Participants will import and organize data in NVivo11, add research notes and annotations, and code qualitative data in a variety of ways. Participants will also understand the potential of NVivo11 as a tool for organizing, questioning, visualizing, and reporting qualitative research data.

Overview of Qualtrics API

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The Qualtrics API can be used to automate repetitive processes inside of Qualtrics or to pass information in and out of Qualtrics. With API, a researcher can read survey data directly from Qualtrics into R, SPSS and other software packages. Similarly, a user can automate contact list creation rather than manually compile and import contact lists. This workshop will show how to access the Qualtrics API feature, read data into a few popular software packages and provide an overview of some other research related and administrative uses.

Overview of Research Software and Services

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In this brief workshop you will learn about the extensive range of free research software and services available to you from OIT. We can help you do: quantitative and qualitative analysis of data, text, and images; create web-based surveys; use high performance computers; solve challenging math problems – and more! Full statistical consulting and qualitative analysis consulting services are included. We can also present this workshop in your own departmental meetings at no charge.
Prerequisites: None
Time: 30 minutes of presentation followed by up to 30 minutes of Q&A time

QDA Miner 1 (Basics)

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QDA Miner is software that helps you perform Qualitative Data Analysis of text from sources such as interviews, speeches, newspaper articles, or open-ended survey questions. This hands-on workshop will show you how to import or enter the text, search for keywords, code blocks of text, find patterns of codes, calculate inter-coder reliability, compare groups and export your findings to other packages.

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In this hands-on workshop, you will create and deploy a web-based survey using Qualtrics. Basic question construction (single and multiple response questions, grid/matrix tables for Likert questions, text questions) will be covered as well as how to add in Display and Skip Logic, which allows the respondent to skip questions that do not pertain to them, thereby shortening their response time. An overview of the reporting tools and how to export data as an SPSS dataset will also be presented.
You may bring your own laptop if you wish.

Qualtrics 2 (Reporting and Analysis Tools)

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In this hands-on workshop, you learn about reporting and analysis tools in Qualtrics including creating new variables, creating and sharing reports, and qualitative text analysis. You may bring your own laptop if you wish.

R Basics

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R Basics – In this hands-on workshop you will learn to use the R programming language to create vectors, factors and data frames; how to manage your files and workspace; how to control R functions; how to read comma-separated data files; how to select variables and observations; how to create plots and how to perform basic statistical analyses.

R for Machine Learning

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In this hands-on workshop you will learn how to use R to discover useful patterns in your data and to make accurate predictions. Topics will include data preparation, automated variable selection, cross-validation methods, and several popular modeling approaches including decision trees and neural networks. We will use the popular caret package which integrates the various steps and standardizes them across many modeling methods.

R for Text Analysis

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In this hands-on workshop you will learn to use R to read text from various sources, extract both sentiment and topics from it, and optionally use that information in statistical or machine learning models. We will use the tidytext package, which integrates functions from several other packages.

SAS Data Analysis

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SAS is a popular package for data analysis and graphics. This workshop shows you how to run the most widely used statistics and graphics in SAS, as well as how to interpret the output. Topics include: importing data in SAS, SAS procedures statements, exploring your data, measuring the strength of association between two continuous variables, comparing two groups on categorical and continuous variables, t-tests, analysis of variance and regression using the general linear model, how to produce plots in SAS, and where to go to learn more. The hands-on lab session will employ SAS for Microsoft Windows. Participants should have a basic knowledge of statistics.

SAS Programming Basics 1

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SAS is one of the most popular software packages for data analysis and visualization. It is a powerful tool that enables programmers to perform various tasks including information retrieval, data management, report writing and graphics, statistical analysis, and data mining. This workshop provides instruction on how to program effectively using SAS and understand basic concepts about SAS programs.

SPSS 1 (Basics)

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SPSS is a popular package for data analysis and graphics. This hands-on workshop takes you from starting the package through data coding, entry and cleanup, creating new variables, how to get output for different groups, how to request an analysis or a graph, manipulating the output, and where you can learn more. The hands-on lab session will employ the easy-to-use version for Microsoft Windows, but the menus are almost identical on Macintosh and Linux. Participants should have basic knowledge of Windows, Macintosh, or UNIX X-Windows.
You may bring your own laptop if you wish.

SPSS 2 (SPSS Data Analysis)

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SPSS is a popular package for data analysis and graphics. This workshop shows you how to run the most widely used statistics and graphics in SPSS, as well as how to interpret the output. Topics include: exploring your data to find errors, extreme values and sparse categories; examining the distributions of continuous variables; measuring the strength of association between two continuous variables; comparing two groups on categorical and continuous variables and where to go to learn more. The hands-on lab session will employ the easy-to-use version for Microsoft Windows, but the menus are almost identical on Macintosh and UNIX. Participants should have a basic knowledge of statistics.

You may bring your own laptop if you wish.

Structural equation modeling using SPSS AMOS

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Structural equation modeling (SEM) is a multivariate statistical analysis technique that is used to analyze the structural relationship between measured variables and latent constructs. This workshop is a brief overview of structural equation modeling using the SPSS AMOS software and features an introduction to the logic of SEM, the assumptions and required input for SEM analysis, and how to perform SEM analyses using SPSS AMOS. Throughout the course, participants will be able to do practical exercises. Prior preliminary knowledge of SPSS is preferred but not required.

Using Nvivo for Literature Reviews

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Qualitative data-analysis tools such as NVivo are immensely useful for researchers who analyze, synthesize, and write up literature reviews. This workshop will focus on using NVivo (a qualitative data-analysis tool) to organize, query, visualize, and summarize data for a literature review. Additionally, participants will learn how to annotate literature, add research notes, and integrate NVivo with bibliographic software packages such as Endnote and Zotero.

Using Qualitative Data Analysis Software for Literature Reviews

Sorry, there are no scheduled times for this workshop. Contact us for more info.

Qualitative data-analysis tools such as NVivo are immensely useful for researchers who analyze, synthesize, and write up literature reviews. This workshop will focus on using NVivo (a qualitative data-analysis tool) to organize, query, visualize, and summarize data for a literature review. Additionally, participants will learn how to annotate literature, add research notes, and integrate NVivo with bibliographic software packages such as Endnote and Zotero.

WordStat for Text Mining

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WordStat is an easy-to-use package that performs all the fundamental tasks for text mining. It automatically extracts concepts from sources such as interviews, speeches, newspaper articles, or open-ended survey questions. In this hands-on workshop, you will learn how to determine the frequency and co-occurrence of terms, phrases, and concepts; create a categorization (coding) dictionary; analyze category patterns; compare groups; and export the findings to other packages. WordStat runs as an add-on to Stata and QDA Miner, but no knowledge of those packages is assumed.

To access the WordStat and WordStat for Stata software, first download the installation instructions by going to http://oit.utk.edu/software, clicking the "Download OIT Software" button, logging in, and choosing Provalis Research.